{"id":"https://openalex.org/W4225243265","doi":"https://doi.org/10.1109/lsp.2022.3157195","title":"A Multi-Task Learning for 2D Phase Unwrapping in Fringe Projection","display_name":"A Multi-Task Learning for 2D Phase Unwrapping in Fringe Projection","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4225243265","doi":"https://doi.org/10.1109/lsp.2022.3157195"},"language":"en","primary_location":{"id":"doi:10.1109/lsp.2022.3157195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3157195","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053399857","display_name":"K. Sumanth","orcid":"https://orcid.org/0000-0002-7017-7579"},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Krishna Sumanth","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Tirupati, India"],"raw_orcid":"https://orcid.org/0000-0002-7017-7579","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Tirupati, India","institution_ids":["https://openalex.org/I4210109292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041647162","display_name":"Vaishnavi Ravi","orcid":"https://orcid.org/0000-0002-7861-1026"},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vaishnavi Ravi","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Tirupati, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Tirupati, India","institution_ids":["https://openalex.org/I4210109292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014702481","display_name":"Rama Krishna Gorthi","orcid":"https://orcid.org/0000-0001-5021-0071"},"institutions":[{"id":"https://openalex.org/I4210109292","display_name":"Indian Institute of Technology Tirupati","ror":"https://ror.org/01xtkxh20","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rama Krishna Gorthi","raw_affiliation_strings":["Department of Electrical Engineering, Indian Institute of Technology, Tirupati, India"],"raw_orcid":"https://orcid.org/0000-0001-5021-0071","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Indian Institute of Technology, Tirupati, India","institution_ids":["https://openalex.org/I4210109292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210109292"],"apc_list":null,"apc_paid":null,"fwci":2.9364,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92368066,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"797","last_page":"801"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11211","display_name":"3D Surveying and Cultural Heritage","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1907","display_name":"Geology"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13114","display_name":"Image Processing Techniques and Applications","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7846145629882812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6922217607498169},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.6112727522850037},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.5904889106750488},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.577503502368927},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5766031742095947},{"id":"https://openalex.org/keywords/structured-light-3d-scanner","display_name":"Structured-light 3D scanner","score":0.546226441860199},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5332780480384827},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5220513343811035},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41918444633483887},{"id":"https://openalex.org/keywords/interferometry","display_name":"Interferometry","score":0.4164774715900421},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20677733421325684},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1884540617465973},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11001574993133545},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.10603213310241699},{"id":"https://openalex.org/keywords/scanner","display_name":"Scanner","score":0.08530682325363159}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7846145629882812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6922217607498169},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.6112727522850037},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.5904889106750488},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.577503502368927},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5766031742095947},{"id":"https://openalex.org/C184577583","wikidata":"https://www.wikidata.org/wiki/Q1485537","display_name":"Structured-light 3D scanner","level":3,"score":0.546226441860199},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5332780480384827},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5220513343811035},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41918444633483887},{"id":"https://openalex.org/C166689943","wikidata":"https://www.wikidata.org/wiki/Q850283","display_name":"Interferometry","level":2,"score":0.4164774715900421},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20677733421325684},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1884540617465973},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11001574993133545},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.10603213310241699},{"id":"https://openalex.org/C2779751349","wikidata":"https://www.wikidata.org/wiki/Q1474480","display_name":"Scanner","level":2,"score":0.08530682325363159},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lsp.2022.3157195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lsp.2022.3157195","pdf_url":null,"source":{"id":"https://openalex.org/S120629676","display_name":"IEEE Signal Processing Letters","issn_l":"1070-9908","issn":["1070-9908","1558-2361"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Signal Processing Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1518432607","https://openalex.org/W1901129140","https://openalex.org/W1943560213","https://openalex.org/W1993587463","https://openalex.org/W2031157389","https://openalex.org/W2139382721","https://openalex.org/W2152306324","https://openalex.org/W2167536595","https://openalex.org/W2900139389","https://openalex.org/W2913539075","https://openalex.org/W2944537797","https://openalex.org/W2944779716","https://openalex.org/W2964150021","https://openalex.org/W2996290406","https://openalex.org/W2997457044","https://openalex.org/W3010584812","https://openalex.org/W3089583423","https://openalex.org/W6631190155","https://openalex.org/W6669647906","https://openalex.org/W6720070561","https://openalex.org/W6766978945"],"related_works":["https://openalex.org/W1891287906","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2036778696","https://openalex.org/W4225259759","https://openalex.org/W2806096627","https://openalex.org/W2483420468","https://openalex.org/W2383285980"],"abstract_inverted_index":{"Phase":[0],"unwrapping":[1,41,53],"is":[2,26,42],"a":[3,27,43,49,76,117,140],"challenging":[4],"task":[5,135],"in":[6,12,38,61,109,116,136,144],"signal":[7,20],"processing,":[8],"spanning":[9],"its":[10],"applications":[11],"optical":[13],"metrology,":[14],"SAR":[15],"interferometry,":[16],"and":[17,58,79,128],"many":[18],"other":[19],"reconstruction":[21,134],"tasks.":[22],"Fringe":[23,137],"Projection":[24,138],"Profilometry":[25],"popular":[28],"active-sensing":[29],"approach":[30,89],"for":[31,55,95,131],"generating":[32],"high-resolution":[33],"three-dimensional":[34],"(3D)":[35],"surface":[36],"information":[37],"which":[39],"phase":[40,52,120],"crucial":[44],"step.":[45],"This":[46],"letter":[47],"proposes":[48],"multi-task":[50],"learning-based":[51],"method":[54,124],"simultaneous":[56],"denoising":[57],"wrap-count":[59],"prediction":[60],"fringe":[62],"projection.":[63],"The":[64,87,122],"proposed":[65,88,123],"network,":[66],"referred":[67],"to":[68],"as":[69,106],"TriNet,":[70],"has":[71],"nested":[72],"pyramidal":[73],"architecture":[74],"with":[75],"single":[77],"encoder":[78],"two":[80],"decoders,":[81],"all":[82],"connected":[83],"through":[84],"skip":[85],"connections.":[86],"does":[90],"not":[91],"require":[92],"any":[93,103],"pre-processing":[94],"noise":[96],"removal":[97],"like":[98,108],"the":[99,126,132,145],"conventional":[100],"methods":[101,113,130],"or":[102],"post-processing":[104],"such":[105],"smoothing,":[107],"existing":[110,127],"deep":[111],"learning":[112],"but":[114],"results":[115],"quite":[118],"accurate":[119],"unwrapping.":[121],"outperforms":[125],"state-of-the-art":[129],"3D":[133],"by":[139],"significant":[141],"margin":[142],"even":[143],"presence":[146],"of":[147],"very":[148],"high":[149],"noise.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
